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The Use of Statistical Methods for Data Processing
Čupr, Jiří ; Klučková, Martina (referee) ; Novotná, Veronika (advisor)
This master's thesis is focused on problem of orders of ingredients in McDonald's. It's an analysis of usage changes depending on outside temperature. Thesis includes theoretical background for correct analysis of the problem and possibilities to figuring it out. There is also an algorithmus for more efficient solution of problem with needs or excess of ingredients. There is also a program written in VBA language, that makes more simple usage of this algorithm on restaurants.
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Influence of parcellation atlas on quality of classification in patients with neurodegenerative dissease
Montilla, Michaela ; Lamoš, Martin (referee) ; Gajdoš, Martin (advisor)
The aim of the thesis is to define the dependency of the classification of patients affected by neurodegenerative diseases on the choice of the parcellation atlas. Part of this thesis is the application of the functional connectivity analysis and the calculation of graph metrics according to the method published by Olaf Sporns and Mikail Rubinov [1] on fMRI data measured at CEITEC MU. The application is preceded by the theoretical research of parcellation atlases for brain segmentation from fMRI frames and the research of mathematical methods for classification as well as classifiers of neurodegenerative diseases. The first chapters of the thesis brings a theoretical basis of knowledge from the field of magnetic and functional magnetic resonance imaging. The physical principles of the method, the conditions and the course of acquisition of image data are defined. The third chapter summarizes the graph metrics used in the diploma thesis for analyzing and classifying graphs. The paper presents a brief overview of the brain segmentation methods, with the focuse on the atlas-based segmentation. After a theoretical research of functional connectivity methods and mathematical classification methods, the findings were used for segmentation, calculation of graph metrics and for classification of fMRI images obtained from 96 subjects into the one of two classes using Binary classifications by support vector machines and linear discriminatory analysis. The data classified in this study was measured on patiens with Parkinson’s disease (PD), Alzheimer’s disease (AD), Mild cognitive impairment (MCI), a combination of PD and MCI and subjects belonging to the control group of healthy individuals. For pre-processing and analysis, the MATLAB environment, the SPM12 toolbox and The Brain Connectivity Toolbox were used.
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Detection of paroxysmal atrial fibrillation and atrial flutter
Krmela, Jan ; Němcová, Andrea (referee) ; Smíšek, Radovan (advisor)
This bachelor thesis deals with the problem of atrial fibrillation and flutter, the pathophysiology of these arrhythmias and their automatic detection. It includes a theoretical introduction necessary to understand the basal anatomy of the heart, its function, the origin and description of the electrocardiogram and a chapter on cardiac arrhythmias. It also includes a review of automatic detection of atrial fibrillation. The databases used in the practical part of the thesis are also described. The implementation of heart rhythm classification and automatic detection of the beginning and end of paroxysmal episodes is performed in MATLAB environment, the proposed algorithm is tested on the described databases and the results are evaluated.
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Cluster Analysis of ECG Signals
Dvořáček, Tomáš ; Chrobák, Martin (referee) ; Kozumplík, Jiří (advisor)
This bachelor thesis is engaged in problematics of automatic cluster analysis for ECG sinals. This bachelor thesis contains theory of pathology in cardiac rhythm and problematics of cluster analysis. Based on a gained knowledge, set of symptoms is made, which are used for cluster analysis using MATLAB interface and which results are evaluated.
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Evolutionary Optimisation of Analogue Circuits
Mihulka, Tomáš ; Zachariášová, Marcela (referee) ; Bidlo, Michal (advisor)
The aim of this work was to create a system for optimisaton of specific analog circuits by evolution using multiple fitness functions . A set of experiments was run, and the results analyzed to evaluate the feasibility of evolutionary optimisation of analog circuits . A requirement for this goal is the study and choice of certain types of analog circuits and evolutionary algorithms . For the scope of this work , amplifiers and oscillators were chosen as target circuits , and genetic algorithms and evolutionary strategies as evolutionary algorithms . The motivation for this work is the ongoing effort to automate the design and optimisation of analog circuits , where evolutionary optimisation is one of the options .
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Transformation of ECG leads
Kaspar, Pavel ; Vítek, Martin (referee) ; Hrubeš, Jan (advisor)
Transformation of ECG The aim of this work is to get acquainted with the means of transformation of ECG, and to execute Dower transform and evaluate it’s efficiency. Then, to design and realize a new way of forward and reverse transformation of ECG in MATLAB program for the purpose of data compression, and to evaluate its functionality with signals from CSE database.
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From Brussels with love? Data Analysis of Social Media usage by Czech Members of the European Parliament
Vanka, Boris ; Váška, Jan (advisor) ; Ullrichová, Eliška (referee)
Populism is on growth throughout Europe and the World. Research has shown that especially in the European Parliament, the number of populist politicians is rising over the last decades. Likewise, social media usage by users is booming and is used particularly by this type of politicians who spread their messages, using emotionality and negativity. Since the literature indicated that populists are especially active, efficient, and followed this research aimed to analyze the relationship between the degree of populism and its influence on the three variables of the Members of the European Parliament elected for Czechia. In order to evaluate such a relationship, the data from Facebook (page posts, interaction by users, and numbers of followers) were utilized to test defined hypotheses and answer the research question. Exploratory Data Analysis was used as a wider framework, while Pearson Correlation Coefficient served as a tool for computing the correlation. Therefore, the scale of the independent variable (degree of populism) was based on data about Czech political parties, reflected in anti-elitism, corruption salience, protectionism, and nationalism. The dependent variables were based on activity, efficiency, and acquirement of followers. Moreover, the test of statistical significance was conducted...
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Detection of paroxysmal atrial fibrillation and atrial flutter
Krmela, Jan ; Němcová, Andrea (referee) ; Smíšek, Radovan (advisor)
This bachelor thesis deals with the problem of atrial fibrillation and flutter, the pathophysiology of these arrhythmias and their automatic detection. It includes a theoretical introduction necessary to understand the basal anatomy of the heart, its function, the origin and description of the electrocardiogram and a chapter on cardiac arrhythmias. It also includes a review of automatic detection of atrial fibrillation. The databases used in the practical part of the thesis are also described. The implementation of heart rhythm classification and automatic detection of the beginning and end of paroxysmal episodes is performed in MATLAB environment, the proposed algorithm is tested on the described databases and the results are evaluated.
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Influence of selected conditional factors on performance in white water slalom
Vondra, Jan ; Bílý, Milan (advisor) ; Kratochvíl, Jiří (referee)
Title: Influence of selected conditional factors on performance in white water slalom. Aims: The aim of the study was to investigate the relationship of selected specific movement abilities being examined modified test battery with the performance of athletes in the water slalom. Methods: It was used field measurements where the applied modified test battery. Using GPS module to determine the distance partial tests from batery. For measuring was used manual measurement. To determine the statistical correlation between the modified battery and performance ability of competitors was used two different coefficients of correlation and regression analysis. According to the order of the test and the race was used nonparametric correlation study - Spearman correlation coefficient. Determining the statistical significance of the relationship of measured times in tests and final time in the nomination races have used the Pearson correlation coefficient. Results: For a statistically significant relationship was determined value when r ≥ 0.8. Spearman's correlation coefficient: In the test at 40 m were obtained these correlation coefficients: Nomination races rs = 0,380952, Czech cup rs = 0,595238. In the test at 80 meters they were obtained these correlation coefficients: nomination races rs = 0,857143,...
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